公开(公告)号：US20240355108A1

公开(公告)日：2024-10-24

申请号：US18687710

申请日：2022-11-30

Applicant: TOKYO INSTITUTE OF TECHNOLOGY

Inventor： Kenji SUZUKI

IPC: G06V10/82 ,  G06V10/774 ,  G06V10/80

CPC classification number: G06V10/82 ,  G06V10/774 ,  G06V10/80 ,  G06V2201/03

Abstract: A data acquisition unit acquires input data. An estimation unit estimates information relating to an estimation object by inputting the input data into a trained model. An image display unit displays the estimation information and the reason for estimation. The trained model includes a plurality of modularized networks constructed such that each of the modularized networks are trained in advance by different characteristics of the estimation object in image data for first training and estimation, and a fusion network for estimating information relating to the estimation object in input images constructed such that a plurality of output signals obtained by inputting image data for the second training and estimation into the plural modularized networks are inputted.

公开(公告)号：US20240338814A1

公开(公告)日：2024-10-10

申请号：US18296963

申请日：2023-04-06

Applicant: Alpha Intelligence Manifolds, Inc.

Inventor： YUEH-CHUN LAI ,  WIN-HOW LEE

IPC: G06T7/00 ,  G06T7/13 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G06T7/13 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G16H50/20 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30048 ,  G06V2201/03

Abstract: The present invention relates to a method for evaluating software-analyzed videos, comprising receiving input images and corresponding software-analyzed images, generating predicted difference parameters by at least one difference model, generating geometric parameters, and generating a predicted evaluation result based on the predicted difference parameters and the geometric parameters by an evaluation model. The present invention also relates to a method for training models to perform difference parameter generation, and a method for training models to perform evaluation result generation described above.

公开(公告)号：US20240335103A1

公开(公告)日：2024-10-10

申请号：US18748739

申请日：2024-06-20

Applicant: Boston Scientific Scimed, Inc.

Inventor： Kirsten VIERING ,  George Wilfred DUVAL ,  Louis J. BARBATO

IPC: A61B1/05 ,  A61B1/06 ,  G06T3/40 ,  G06T7/10 ,  G06T7/20 ,  G06T11/00 ,  G06V20/00 ,  H04N23/84

CPC classification number: A61B1/05 ,  A61B1/0638 ,  G06T3/40 ,  G06T7/10 ,  G06T7/20 ,  G06T11/001 ,  G06V20/00 ,  H04N23/84 ,  G06T2207/30004 ,  G06V2201/03

Abstract: A method of generating a color image using a monochromatic image sensor. The method includes sequentially illuminating a surface in a plurality of colors, one color at a time. The monochromatic image sensor captures a plurality of image frames of the surface based on the plurality of colors. The plurality of image frames are identified, and at least one feature in the target of the plurality of image frames is highlighted. Color intensities of the plurality of image frames are normalized. A color intensity map of the target for each of the plurality of image frames is generated. A correlation score is determined by comparing each color intensity map of the plurality of image frames. The color image is generated based on the correlation score.

公开(公告)号：US12112843B2

公开(公告)日：2024-10-08

申请号：US17117654

申请日：2020-12-10

Applicant: HOWMEDICA OSTEONICS CORP.

Inventor： Sergii Poltaretskyi ,  Jean Chaoui ,  Damien Cariou

IPC: G16H20/40 ,  A61B5/00 ,  A61B5/11 ,  A61B17/14 ,  A61B17/16 ,  A61B17/17 ,  A61B34/00 ,  A61B34/10 ,  A61B90/00 ,  A61B90/92 ,  A61F2/40 ,  G02B27/00 ,  G02B27/01 ,  G06F3/01 ,  G06F3/04815 ,  G06F3/0482 ,  G06F30/10 ,  G06F30/20 ,  G06N3/08 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/55 ,  G06T11/00 ,  G06T19/00 ,  G06T19/20 ,  G09B5/06 ,  G09B9/00 ,  G09B19/00 ,  G09B23/28 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H40/60 ,  G16H40/63 ,  G16H40/67 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  G16H70/20 ,  G16H70/60 ,  G16H80/00 ,  H04N13/122 ,  H04N13/332 ,  A61B17/00 ,  A61B17/15 ,  A61B34/20 ,  A61B90/50 ,  A61F2/46 ,  G06F3/0483 ,  G06N3/04 ,  G16H50/20

CPC classification number: G16H20/40 ,  A61B5/1114 ,  A61B5/1121 ,  A61B5/1127 ,  A61B5/681 ,  A61B17/142 ,  A61B17/1604 ,  A61B17/1626 ,  A61B17/1659 ,  A61B17/1684 ,  A61B17/1703 ,  A61B34/10 ,  A61B34/25 ,  A61B90/08 ,  A61B90/36 ,  A61B90/361 ,  A61B90/37 ,  A61B90/39 ,  A61B90/92 ,  A61F2/40 ,  A61F2/4081 ,  G02B27/0075 ,  G02B27/017 ,  G02B27/0172 ,  G06F3/011 ,  G06F3/04815 ,  G06F3/0482 ,  G06F30/10 ,  G06F30/20 ,  G06N3/08 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/55 ,  G06T11/00 ,  G06T19/006 ,  G06T19/20 ,  G09B5/06 ,  G09B9/00 ,  G09B19/003 ,  G09B23/28 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H40/60 ,  G16H40/63 ,  G16H40/67 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  G16H70/20 ,  G16H70/60 ,  G16H80/00 ,  H04N13/122 ,  H04N13/332 ,  A61B5/744 ,  A61B2017/00115 ,  A61B2017/00119 ,  A61B2017/00123 ,  A61B17/151 ,  A61B17/1775 ,  A61B17/1778 ,  A61B2034/102 ,  A61B2034/104 ,  A61B2034/105 ,  A61B2034/107 ,  A61B2034/108 ,  A61B2034/2048 ,  A61B2034/2051 ,  A61B2034/2055 ,  A61B2034/2065 ,  A61B2034/2068 ,  A61B2034/252 ,  A61B2034/254 ,  A61B2090/062 ,  A61B2090/067 ,  A61B2090/0801 ,  A61B2090/0807 ,  A61B2090/365 ,  A61B2090/366 ,  A61B2090/367 ,  A61B2090/368 ,  A61B2090/373 ,  A61B2090/374 ,  A61B2090/3762 ,  A61B2090/378 ,  A61B2090/3937 ,  A61B2090/3945 ,  A61B2090/397 ,  A61B2090/502 ,  A61B2505/05 ,  A61B2562/0219 ,  A61F2002/4011 ,  A61F2/4606 ,  A61F2/4612 ,  A61F2002/4633 ,  A61F2002/4658 ,  A61F2002/4668 ,  G02B2027/0141 ,  G02B2027/0174 ,  G06F3/0483 ,  G06N3/04 ,  G06T2200/24 ,  G06T2207/10016 ,  G06T2207/20036 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30008 ,  G06T2207/30052 ,  G06T2207/30204 ,  G06T2210/41 ,  G06T2219/2004 ,  G06V2201/03 ,  G16H50/20

Abstract: An example system for demonstrating at least one aspect of an orthopedic surgical procedure includes a first device configured to display a presentation to a first user while the first user is wearing the device, wherein the presentation includes virtual element(s) that are controllable by the first user while the first user is wearing the first device, and wherein the virtual element(s) comprise a 3-dimensional (3D) virtual representation of one or more anatomical features associated with the orthopedic surgical procedure; and a second device configured to display the presentation to a second user, wherein the virtual element(s) further include virtual pre-operative plan element(s) shown relative to the 3D virtual representation, virtual surgical guidance feature(s) shown relative to the 3D virtual representation, or surgical result(s) virtually illustrated on the 3D virtual representation so as to demonstrate aspect(s) of the orthopedic surgical procedure.

公开(公告)号：US12109018B2

公开(公告)日：2024-10-08

申请号：US17194666

申请日：2021-03-08

Applicant: CareView Communications, Inc.

Inventor： Steven Gail Johnson ,  Derek del Carpio ,  Jeffrey C. Lightcap

IPC: H04N23/00 ,  A61B5/11 ,  G06V20/54 ,  H04N23/611 ,  H04N23/62

CPC classification number: A61B5/1128 ,  A61B5/1117 ,  G06V20/54 ,  H04N23/611 ,  H04N23/62 ,  A61B2560/0223 ,  G06V2201/03

Abstract: A method and system for calibrating cameras of a monitoring system, the method comprises receiving a plurality of video frames including a wide area view of a patient area from a primary camera of a monitoring subsystem and a view of a region of interest within the patient area from a secondary camera of the monitoring subsystem, detecting a patient event based on an analysis of given ones of the plurality of video frames corresponding to the wide area view, transmitting the given ones of the plurality of video frames and an identification of the patient event to a viewer client device, generating detection-based calibration instructions based on the patient event, wherein the detection-based calibration instructions including control information that controls operation of the secondary camera based on a location of the patient event, and transmitting the detection-based calibration instructions to the monitoring subsystem, wherein the monitoring subsystem configures the secondary camera based on the control information of the detection-based calibration instructions.

公开(公告)号：US20240331364A1

公开(公告)日：2024-10-03

申请号：US18741765

申请日：2024-06-12

Applicant: DEEP BIO INC.

Inventor： Tae Yeong KWAK ,  Hye Yoon CHANG ,  Joon Young CHO ,  Sun Woo KIM

IPC: G06V10/774 ,  G06N3/084 ,  G06T7/00 ,  G06V10/82

CPC classification number: G06V10/774 ,  G06N3/084 ,  G06T7/0012 ,  G06V10/82 ,  G06T2207/10024 ,  G06T2207/10056 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30024 ,  G06T2207/30096 ,  G06V2201/03

Abstract: A method for extracting only a portion stained with a specific dye from a pathology slide stained with a mixed dye in which various types of dyes are mixed, training an artificial neural network, and determining a pathology image stained by using various staining techniques; and a computing system performing same. A neural network learning system generates and learns a learning data set including M pieces of individual learning data (where M is a natural number greater than or equal to 2).

公开(公告)号：US20240331359A1

公开(公告)日：2024-10-03

申请号：US18609382

申请日：2024-03-19

Applicant: Konica Minolta, Inc.

Inventor： Shikou KANEKO ,  Hiroaki MATSUMOTO ,  Yoshihiro TAKEDA

IPC: G06V10/774 ,  G06T7/00 ,  G06V10/82 ,  G16H50/20

CPC classification number: G06V10/774 ,  G06T7/0012 ,  G06V10/82 ,  G16H50/20 ,  G06T2207/10088 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/03

Abstract: Provided is a learning data set generation device of the present disclosure, which causes a computer to execute: acquiring second medical imaging data generated by predetermined image conversion processing on first medical imaging data; and generating a pair of the second medical imaging data and a first ground truth label, which is a ground truth label for the first medical imaging data, as a learning data set.

公开(公告)号：US12106856B2

公开(公告)日：2024-10-01

申请号：US17326349

申请日：2021-05-21

Applicant: FUJIFILM Corporation

Inventor： Deepak Keshwani

IPC: G06T7/11 ,  G06F18/21 ,  G06F18/214 ,  G06F18/2431 ,  G06N20/00 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20

CPC classification number: G16H50/20 ,  G06F18/214 ,  G06F18/2163 ,  G06F18/2431 ,  G06N20/00 ,  G06T7/11 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30061 ,  G06T2207/30096 ,  G06V2201/03

Abstract: Provided are an image processing apparatus, an image processing method, and a program that can reduce the time and effort required to correct the segmentation of a medical image. An image processing apparatus includes: an image acquisition unit (40) that acquires a medical image (200); a segmentation unit (42) that performs segmentation on the medical image acquired by the image acquisition unit and classifies the medical image into prescribed classes for each local region; a global feature acquisition unit (46) that acquires a global feature indicating an overall feature of the medical image; and a correction unit (44) that corrects a class of a correction target region that is a local region whose class is to be corrected in the medical image according to the global feature with reference to a relationship between the global feature and the class.

公开(公告)号：US12097054B2

公开(公告)日：2024-09-24

申请号：US17262525

申请日：2019-07-18

Applicant: CEREBRIA LIMITED

Inventor： Justin Davies ,  Jeremy Walker ,  Christopher Cook

IPC: G06T7/73 ,  A61B6/00 ,  A61B6/03 ,  A61B6/46 ,  A61B6/50 ,  G06F18/21 ,  G06F18/22 ,  G06F18/24 ,  G06N3/02 ,  G06T7/00 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H30/20 ,  H04N23/695 ,  H04N23/80

CPC classification number: A61B6/032 ,  A61B6/465 ,  A61B6/469 ,  A61B6/481 ,  A61B6/487 ,  A61B6/504 ,  A61B6/545 ,  G06F18/21 ,  G06F18/22 ,  G06F18/24 ,  G06N3/02 ,  G06T7/0014 ,  G06T7/73 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G16H30/20 ,  H04N23/695 ,  H04N23/80 ,  G06T2207/10121 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30101 ,  G06V2201/03

Abstract: We provide an imaging system for use in a fluoroscopy procedure carried out on a subject, the imaging system being configured to receive images of a portion of the subject from an image acquisition device, the imaging system comprising an interface module for displaying images received from the image acquisition device to a user, and an optimisation module for determining, based on an image received from the image acquisition device, one or more properties of the image, wherein the optimisation module is configured to output a control routine.

公开(公告)号：US12094037B2

公开(公告)日：2024-09-17

申请号：US17645473

申请日：2021-12-22

Applicant: FUJIFILM Healthcare Corporation

Inventor： Hisashi Takahashi ,  Taiga Goto ,  Kana Tanaka

IPC: G06V10/00 ,  A61B6/00 ,  A61B6/03 ,  G06T5/70 ,  G06T7/00 ,  G06T11/00 ,  G06V10/25 ,  G16H30/40

CPC classification number: G06T11/008 ,  A61B6/032 ,  A61B6/5235 ,  A61B6/5258 ,  G06T5/70 ,  G06T7/0012 ,  G06V10/25 ,  G16H30/40 ,  G06T2207/10072 ,  G06T2207/30004 ,  G06V2201/03

Abstract: There are a medical image processing apparatus and a medical image processing method that are capable of maintaining the estimation accuracy of noise intensity even though a system noise ratio rises. A medical image processing apparatus includes a difference image generating unit that divides projection data obtained by applying radiation to an examinee to create a difference image between tomographic images reconstructed for every divided piece of projection data; a local variance computing unit that computes local variance in the difference image; and a noise estimation unit that corrects the local variance using a correction function found in advance to estimate noise intensity of a tomographic image of the examinee. The correction function includes system noise.